/*=========================================================================
 *
 *  Copyright UMC Utrecht and contributors
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *        http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#ifndef __elxAdvancedMeanSquaresMetric_HXX__
#define __elxAdvancedMeanSquaresMetric_HXX__

#include "elxAdvancedMeanSquaresMetric.h"
#include "itkTimeProbe.h"

namespace elastix
{

/**
 * ******************* Initialize ***********************
 */

template< class TElastix >
void
AdvancedMeanSquaresMetric< TElastix >
::Initialize( void )
{
  itk::TimeProbe timer;
  timer.Start();
  this->Superclass1::Initialize();
  timer.Stop();
  elxout << "Initialization of AdvancedMeanSquares metric took: "
         << static_cast< long >( timer.GetMean() * 1000 ) << " ms." << std::endl;

} // end Initialize()


/**
 * ***************** BeforeEachResolution ***********************
 */

template< class TElastix >
void
AdvancedMeanSquaresMetric< TElastix >
::BeforeEachResolution( void )
{
  /** Get the current resolution level. */
  unsigned int level
    = ( this->m_Registration->GetAsITKBaseType() )->GetCurrentLevel();

  /** Get and set the normalization. */
  bool useNormalization = false;
  this->GetConfiguration()->ReadParameter( useNormalization,
    "UseNormalization", this->GetComponentLabel(), level, 0 );
  this->SetUseNormalization( useNormalization );

  /** Experimental options for SelfHessian */

  /** Set the number of samples used to compute the SelfHessian */
  unsigned int numberOfSamplesForSelfHessian = 100000;
  this->GetConfiguration()->ReadParameter( numberOfSamplesForSelfHessian,
    "NumberOfSamplesForSelfHessian", this->GetComponentLabel(), level, 0 );
  this->SetNumberOfSamplesForSelfHessian( numberOfSamplesForSelfHessian );

  /** Set the smoothing sigma used to compute the SelfHessian */
  double selfHessianSmoothingSigma = 1.0;
  this->GetConfiguration()->ReadParameter( selfHessianSmoothingSigma,
    "SelfHessianSmoothingSigma", this->GetComponentLabel(), level, 0 );
  this->SetSelfHessianSmoothingSigma( selfHessianSmoothingSigma );

  /** Set the smoothing sigma used to compute the SelfHessian */
  double selfHessianNoiseRange = 1.0;
  this->GetConfiguration()->ReadParameter( selfHessianNoiseRange,
    "SelfHessianNoiseRange", this->GetComponentLabel(), level, 0 );
  this->SetSelfHessianNoiseRange( selfHessianNoiseRange );

  /** Select the use of an OpenMP implementation for GetValueAndDerivative. */
  std::string useOpenMP = this->m_Configuration->GetCommandLineArgument( "-useOpenMP_SSD" );
  if( useOpenMP == "true" )
  {
    this->SetUseOpenMP( true );
  }

} // end BeforeEachResolution()


} // end namespace elastix

#endif // end #ifndef __elxAdvancedMeanSquaresMetric_HXX__
